Name: Wei GAN

Position/Title:  Assistant Professor / Director of Teaching Department, CAUP

Address: Room 203, Wenyuan Building, Siping Road 1239, 200092 Shanghai

Email: ganw@tongji.eud.cn

Research Profolio:

Main research interest is the theory and method of intelligent planning and design, focusing on the application of artificial intelligence technology in the field of planning and design innovation. Served as the director of the R&D Department of CIUC, published more than 10 academic papers, and participated in the compilation of 4 books related to AI cities. Participated in the sub-projects of the 13th and 14th Five-Year National Key Research and Development Plan and lead the research of urban design intelligent platform with AI models. Implemented the big data, machine learning and computational design approaches in various urban planning and design practice.

Research Fields：Smart City，City Information Model, AI assisted Urban Planning

Academic background：

2023 Ph.D, Urban and Rural Planning, Tongji University

2014 Master, Urban Policy Design, Politecnico di Milano (Dual Degree)

2015 Master, Urban and Rural Planning, Tongji University

2012 Bachelor, Urban and Rural Planning, Tongji University

Major Career：

2023- Assistant professor, College of Architecture and Urban Planning, Tongji University

2016-2018 Research Director, China Intelligent Urbanization Co-Creation Centor, Tongji University

2015-2016 Urban Planner, Shanghai Tongji Urban Planning and Design Instittute

Other Works:

2023- Reviewer of Urban Planning Forum, Cities, Frontiers of Urban and Rural Planning

Recent Publications：

Zhang X, Zhu Y, Gan W*, et al.(2024) Mapping heterogeneity: Spatially explicit machine learning approaches for urban value uplift characterisation and prediction[J]. Sustainable Cities and Society, 105742.

Gan W, Wang Y, Li X*. (2024) Practical study on the application of embedded machine learning method in generative design at block level[J]. Journal of Human Settlements in West China, 39(03):1-7. (Chinese)

Gan W, Zhao Z,Wang Y, et al. (2024) UDGAN: A new urban design inspiration approach driven by using generative adversarial networks[J]. Journal of Computational Design and Engineering, 2024, 11(1): 305–324.

Wu Z, Wang Y, Gan W*, et al. (2023) A Survey of the Landscape Visibility Analysis Tools and Technical Improvements[J]. International Journal of Environmental Research and Public Health, 2023, 20(3): 1788.

Wu Z, Zhao Z, Gan W*, et al. (2023) Achieving Carbon Neutrality through Urban Planning and Design[J]. International Journal of Environmental Research and Public Health, 2023, 20(3): 2420.

Zhou S, Liu Z, Wang M, Gan W, et al. (2022) Impacts of building configurations on urban stormwater management at a block scale using XGBoost[J]. Sustainable Cities and Society, 2022, 87: 104235.

Wu Z, Zhou M, Liu Q, Gan W, et al. (2024) The Cross-Generational Twin City: Mapping the Life Characteristics of the City[J]. Urban Planning Forum, 2024, (01): 9-17. (Chinese)

Wu Z, Gan W*, Li S, et al. (2023) Society Brains: Theoretical Model and Key Issues [J]. Urban Planning Forum, 2023, (06): 20-26. (Chinese)

Gan W, Wu Z, Wang Y, et al. (2023) AIGC Assisted Urban Design: A Theoretical Model [J]. Urban Planning Forum, 2023, (02): 12-18. (Chinese)

Wu Z, Gan W*, Liu Z, et al. (2023) The AI City: Theory and Structural Model [J]. Urban Planning Forum, 2022, (05): 17-23. (Chinese)

Wu Z, Gan W*, Zang W, et al. (2021) Concept and Development of the City Intelligent Model (CIM). City Planning Review, 2021, 45(04): 106-113+118. (Chinese)

Research Projects:

2018-2021 Sub-project, Research on Simulation Technology of Eco Planning and Design in New Districts. National Key Research and Development Program

Grants and Awards:

2024 World Artificial Intelligence Conference Youth Outstanding Paper Nomination Award

2023 Sail Award (Top 6) of World Artificial Intelligence Conference, Shanghai

2019 First prize of Excellent Urban and Rural Planning and Design, Shanghai

2019 First prize of Excellent Urban and Rural Planning and Design, Shandong Province